New CFAR target detector for SAR images based on kernel density estimation and mean square error distance  

作　　者：Yi Cui Jian Yang Xinzheng Zhang 

机构地区：[1]Department of Electronic Engineering, Tsinghua University, Beijing 100084, P. R. China [2]Beijing Institute of Environmental Features, Beijing 100854, R R. China

出　　处：《Journal of Systems Engineering and Electronics》2012年第1期40-46,共7页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China (40871157; 41171317);the Foundation of Advance Research of Science and Technology for Chinese National Defence(9140C620201902)

摘　　要：A new constant false alarm rate （CFAR） target detector for synthetic aperture radar （SAR） images is developed. For each pixel under test, both the local probability density function （PDF） of the pixel and the clutter PDF in the reference window are estimated by the non-parametric density estimation. The target detector is defined as the mean square error （MSE） distance between the two PDFs. The CFAR detection in SAR images having multiplicative noise is achieved by adaptive kernel bandwidth proportional to the clutter level. In addition, for obtaining a threshold with respect to a given probability of false alarm （PFA）, an unsupervised null distribution fitting method with outlier rejection is proposed. The effectiveness of the proposed target detector is demonstrated by the experiment result using the RADATSAT-2 SAR image.A new constant false alarm rate （CFAR） target detector for synthetic aperture radar （SAR） images is developed. For each pixel under test, both the local probability density function （PDF） of the pixel and the clutter PDF in the reference window are estimated by the non-parametric density estimation. The target detector is defined as the mean square error （MSE） distance between the two PDFs. The CFAR detection in SAR images having multiplicative noise is achieved by adaptive kernel bandwidth proportional to the clutter level. In addition, for obtaining a threshold with respect to a given probability of false alarm （PFA）, an unsupervised null distribution fitting method with outlier rejection is proposed. The effectiveness of the proposed target detector is demonstrated by the experiment result using the RADATSAT-2 SAR image.

关 键 词：synthetic aperture radar （SAR） target detection con- stant false alarm rate （CFAR）. 

分 类 号：TN958[电子电信—信号与信息处理] O211.67[电子电信—信息与通信工程]